Overview

Brought to you by YData

Dataset statistics

Number of variables	29
Number of observations	106
Missing cells	100
Missing cells (%)	3.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	24.1 KiB
Average record size in memory	233.2 B

Variable types

Text	10
DateTime	2
Categorical	11
Numeric	6

Alerts

`suffix` has constant value "Unknown"	Constant
`state` has constant value "Massachusetts"	Constant
`county` is highly overall correlated with `fips` and 3 other fields	High correlation
`fips` is highly overall correlated with `county` and 2 other fields	High correlation
`gender` is highly overall correlated with `prefix`	High correlation
`healthcare_coverage` is highly overall correlated with `maiden`	High correlation
`healthcare_expenses` is highly overall correlated with `maiden`	High correlation
`income` is highly overall correlated with `income_category`	High correlation
`income_category` is highly overall correlated with `income`	High correlation
`lat` is highly overall correlated with `county`	High correlation
`lon` is highly overall correlated with `county` and 1 other fields	High correlation
`maiden` is highly overall correlated with `healthcare_coverage` and 1 other fields	High correlation
`marital` is highly overall correlated with `prefix`	High correlation
`prefix` is highly overall correlated with `gender` and 1 other fields	High correlation
`zip` is highly overall correlated with `county` and 1 other fields	High correlation
`maiden` is highly imbalanced (56.7%)	Imbalance
`race` is highly imbalanced (59.2%)	Imbalance
`deathdate` has 100 (94.3%) missing values	Missing
`id` has unique values	Unique
`ssn` has unique values	Unique
`address` has unique values	Unique
`lat` has unique values	Unique
`lon` has unique values	Unique
`healthcare_expenses` has unique values	Unique
`zip` has 35 (33.0%) zeros	Zeros
`healthcare_coverage` has 7 (6.6%) zeros	Zeros

Reproduction

Analysis started	2024-12-02 13:18:13.660335
Analysis finished	2024-12-02 13:18:18.585945
Duration	4.93 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

id
Text

Unique

Distinct	106
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

Length

Max length	36
Median length	36
Mean length	36
Min length	36

Characters and Unicode

Total characters	3816
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	106 ?
Unique (%)	100.0%

Sample

1st row	30a6452c-4297-a1ac-977a-6a23237c7b46
2nd row	34a4dcc4-35fb-6ad5-ab98-be285c586a4f
3rd row	7179458e-d6e3-c723-2530-d4acfe1c2668
4th row	37c177ea-4398-fb7a-29fa-70eb3d673876
5th row	0fef2411-21f0-a269-82fb-c42b55471405

Value	Count	Frequency (%)
50ca7edb-0dee-35e6-5d8f-66fbcb0b37c1	1	0.9%
f339a5f7-0b09-3072-2b01-7c8e8ca2c1fc	1	0.9%
780fe740-20fb-07ee-1fbd-3fafa9f5df91	1	0.9%
cca2c7f0-a2aa-94e5-ccea-cb78a7d38652	1	0.9%
3c7e37b0-c610-bc9a-d75a-f782e5dc7598	1	0.9%
37713015-cfb5-bf1a-70eb-970101f32341	1	0.9%
d426334c-a982-3a31-7e0f-ca3c7fe01310	1	0.9%
cb1b46a1-9cb5-1187-ccc5-9fb7b98aa957	1	0.9%
d1622e8b-d26b-ec81-ffcb-ec4bf2af385b	1	0.9%
34a4dcc4-35fb-6ad5-ab98-be285c586a4f	1	0.9%
Other values (96)	96	90.6%

Most occurring characters

Value	Count	Frequency (%)
-	424	11.1%
e	238	6.2%
6	223	5.8%
0	220	5.8%
7	220	5.8%
c	219	5.7%
1	218	5.7%
4	218	5.7%
3	216	5.7%
2	215	5.6%
Other values (7)	1405	36.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3816	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	424	11.1%
e	238	6.2%
6	223	5.8%
0	220	5.8%
7	220	5.8%
c	219	5.7%
1	218	5.7%
4	218	5.7%
3	216	5.7%
2	215	5.6%
Other values (7)	1405	36.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3816	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	424	11.1%
e	238	6.2%
6	223	5.8%
0	220	5.8%
7	220	5.8%
c	219	5.7%
1	218	5.7%
4	218	5.7%
3	216	5.7%
2	215	5.6%
Other values (7)	1405	36.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3816	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	424	11.1%
e	238	6.2%
6	223	5.8%
0	220	5.8%
7	220	5.8%
c	219	5.7%
1	218	5.7%
4	218	5.7%
3	216	5.7%
2	215	5.6%
Other values (7)	1405	36.8%

birthdate
Date

Distinct	100
Distinct (%)	94.3%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

Minimum	1914-03-03 00:00:00
Maximum	2023-03-01 00:00:00

Histogram with fixed size bins (bins=50)

deathdate
Date

Missing

Distinct	6
Distinct (%)	100.0%
Missing	100
Missing (%)	94.3%
Memory size	980.0 B

Minimum	1972-06-01 00:00:00
Maximum	2022-01-17 00:00:00

Histogram with fixed size bins (bins=6)

ssn
Text

Unique

Distinct	106
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	1166
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	106 ?
Unique (%)	100.0%

Sample

1st row	999-52-8591
2nd row	999-75-3953
3rd row	999-70-1925
4th row	999-27-9779
5th row	999-50-8977

Value	Count	Frequency (%)
999-27-5104	1	0.9%
999-66-2146	1	0.9%
999-71-1449	1	0.9%
999-36-7955	1	0.9%
999-74-5035	1	0.9%
999-80-8977	1	0.9%
999-80-9251	1	0.9%
999-83-1974	1	0.9%
999-55-3884	1	0.9%
999-75-3953	1	0.9%
Other values (96)	96	90.6%

Most occurring characters

Value	Count	Frequency (%)
9	387	33.2%
-	212	18.2%
3	77	6.6%
5	75	6.4%
7	70	6.0%
1	69	5.9%
8	65	5.6%
4	64	5.5%
2	60	5.1%
6	55	4.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1166	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
9	387	33.2%
-	212	18.2%
3	77	6.6%
5	75	6.4%
7	70	6.0%
1	69	5.9%
8	65	5.6%
4	64	5.5%
2	60	5.1%
6	55	4.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1166	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
9	387	33.2%
-	212	18.2%
3	77	6.6%
5	75	6.4%
7	70	6.0%
1	69	5.9%
8	65	5.6%
4	64	5.5%
2	60	5.1%
6	55	4.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1166	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
9	387	33.2%
-	212	18.2%
3	77	6.6%
5	75	6.4%
7	70	6.0%
1	69	5.9%
8	65	5.6%
4	64	5.5%
2	60	5.1%
6	55	4.7%

drivers
Text

Distinct	85
Distinct (%)	80.2%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

Length

Max length	9
Median length	9
Mean length	8.5849057
Min length	7

Characters and Unicode

Total characters	910
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	84 ?
Unique (%)	79.2%

Sample

1st row	S99996852
2nd row	S99993577
3rd row	Unknown
4th row	S99995100
5th row	Unknown

Value	Count	Frequency (%)
unknown	22	20.8%
s99911538	1	0.9%
s99917166	1	0.9%
s99959101	1	0.9%
s99975537	1	0.9%
s99996852	1	0.9%
s99943171	1	0.9%
s99941458	1	0.9%
s99947055	1	0.9%
s99941595	1	0.9%
Other values (75)	75	70.8%

Most occurring characters

Value	Count	Frequency (%)
9	291	32.0%
S	84	9.2%
n	66	7.3%
7	56	6.2%
5	49	5.4%
1	48	5.3%
6	47	5.2%
3	46	5.1%
8	39	4.3%
4	36	4.0%
Other values (6)	148	16.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	910	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
9	291	32.0%
S	84	9.2%
n	66	7.3%
7	56	6.2%
5	49	5.4%
1	48	5.3%
6	47	5.2%
3	46	5.1%
8	39	4.3%
4	36	4.0%
Other values (6)	148	16.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	910	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
9	291	32.0%
S	84	9.2%
n	66	7.3%
7	56	6.2%
5	49	5.4%
1	48	5.3%
6	47	5.2%
3	46	5.1%
8	39	4.3%
4	36	4.0%
Other values (6)	148	16.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	910	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
9	291	32.0%
S	84	9.2%
n	66	7.3%
7	56	6.2%
5	49	5.4%
1	48	5.3%
6	47	5.2%
3	46	5.1%
8	39	4.3%
4	36	4.0%
Other values (6)	148	16.3%

passport
Text

Distinct	76
Distinct (%)	71.7%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

Length

Max length	10
Median length	10
Mean length	9.0754717
Min length	7

Characters and Unicode

Total characters	962
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	75 ?
Unique (%)	70.8%

Sample

1st row	X47758697X
2nd row	X28173268X
3rd row	Unknown
4th row	X83694889X
5th row	Unknown

Value	Count	Frequency (%)
unknown	31	29.2%
x83694889x	1	0.9%
x20976043x	1	0.9%
x31272602x	1	0.9%
x37637991x	1	0.9%
x59458953x	1	0.9%
x55687474x	1	0.9%
x14417836x	1	0.9%
x57524913x	1	0.9%
x27670495x	1	0.9%
Other values (66)	66	62.3%

Most occurring characters

Value	Count	Frequency (%)
X	150	15.6%
n	93	9.7%
7	70	7.3%
4	67	7.0%
6	64	6.7%
3	63	6.5%
9	58	6.0%
8	58	6.0%
1	56	5.8%
5	55	5.7%
Other values (6)	228	23.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	962	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
X	150	15.6%
n	93	9.7%
7	70	7.3%
4	67	7.0%
6	64	6.7%
3	63	6.5%
9	58	6.0%
8	58	6.0%
1	56	5.8%
5	55	5.7%
Other values (6)	228	23.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	962	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
X	150	15.6%
n	93	9.7%
7	70	7.3%
4	67	7.0%
6	64	6.7%
3	63	6.5%
9	58	6.0%
8	58	6.0%
1	56	5.8%
5	55	5.7%
Other values (6)	228	23.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	962	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
X	150	15.6%
n	93	9.7%
7	70	7.3%
4	67	7.0%
6	64	6.7%
3	63	6.5%
9	58	6.0%
8	58	6.0%
1	56	5.8%
5	55	5.7%
Other values (6)	228	23.7%

prefix
Categorical

High correlation

Distinct	4
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

Mr.	31
Mrs.	28
Unknown	27
Ms.	20

Length

Max length	7
Median length	4
Mean length	4.2830189
Min length	3

Characters and Unicode

Total characters	454
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mr.
2nd row	Mr.
3rd row	Unknown
4th row	Mrs.
5th row	Unknown

Common Values

Value	Count	Frequency (%)
Mr.	31	29.2%
Mrs.	28	26.4%
Unknown	27	25.5%
Ms.	20	18.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
mr	31	29.2%
mrs	28	26.4%
unknown	27	25.5%
ms	20	18.9%

Most occurring characters

Value	Count	Frequency (%)
n	81	17.8%
M	79	17.4%
.	79	17.4%
r	59	13.0%
s	48	10.6%
U	27	5.9%
k	27	5.9%
o	27	5.9%
w	27	5.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	454	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	81	17.8%
M	79	17.4%
.	79	17.4%
r	59	13.0%
s	48	10.6%
U	27	5.9%
k	27	5.9%
o	27	5.9%
w	27	5.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	454	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	81	17.8%
M	79	17.4%
.	79	17.4%
r	59	13.0%
s	48	10.6%
U	27	5.9%
k	27	5.9%
o	27	5.9%
w	27	5.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	454	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	81	17.8%
M	79	17.4%
.	79	17.4%
r	59	13.0%
s	48	10.6%
U	27	5.9%
k	27	5.9%
o	27	5.9%
w	27	5.9%

firstname
Text

Distinct	104
Distinct (%)	98.1%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

Length

Max length	14
Median length	13
Mean length	8.8584906
Min length	5

Characters and Unicode

Total characters	939
Distinct characters	57
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	102 ?
Unique (%)	96.2%

Sample

1st row	Joshua658
2nd row	Bennie663
3rd row	Hunter736
4th row	Carlyn477
5th row	Robin66

Value	Count	Frequency (%)
hershel911	2	1.9%
homero668	2	1.9%
antonia30	1	0.9%
bennie663	1	0.9%
hunter736	1	0.9%
carlyn477	1	0.9%
robin66	1	0.9%
arthur650	1	0.9%
caryl47	1	0.9%
willian804	1	0.9%
Other values (94)	94	88.7%

Most occurring characters

Value	Count	Frequency (%)
a	82	8.7%
e	65	6.9%
6	51	5.4%
r	50	5.3%
i	50	5.3%
n	48	5.1%
l	36	3.8%
o	35	3.7%
4	34	3.6%
7	32	3.4%
Other values (47)	456	48.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	939	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	82	8.7%
e	65	6.9%
6	51	5.4%
r	50	5.3%
i	50	5.3%
n	48	5.1%
l	36	3.8%
o	35	3.7%
4	34	3.6%
7	32	3.4%
Other values (47)	456	48.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	939	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	82	8.7%
e	65	6.9%
6	51	5.4%
r	50	5.3%
i	50	5.3%
n	48	5.1%
l	36	3.8%
o	35	3.7%
4	34	3.6%
7	32	3.4%
Other values (47)	456	48.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	939	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	82	8.7%
e	65	6.9%
6	51	5.4%
r	50	5.3%
i	50	5.3%
n	48	5.1%
l	36	3.8%
o	35	3.7%
4	34	3.6%
7	32	3.4%
Other values (47)	456	48.6%

middlename
Text

Distinct	89
Distinct (%)	84.0%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

Length

Max length	14
Median length	13
Mean length	8.6981132
Min length	6

Characters and Unicode

Total characters	922
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	87 ?
Unique (%)	82.1%

Sample

1st row	Alvin56
2nd row	Unknown
3rd row	Mckinley734
4th row	Florencia449
5th row	Jeramy610

Value	Count	Frequency (%)
unknown	17	15.9%
danita413	2	1.9%
mckinley734	1	0.9%
florencia449	1	0.9%
jeramy610	1	0.9%
lelia627	1	0.9%
shelton25	1	0.9%
jordan900	1	0.9%
salley758	1	0.9%
bobbi508	1	0.9%
Other values (80)	80	74.8%

Most occurring characters

Value	Count	Frequency (%)
n	99	10.7%
a	76	8.2%
e	50	5.4%
i	47	5.1%
o	45	4.9%
r	42	4.6%
l	32	3.5%
7	32	3.5%
4	30	3.3%
8	30	3.3%
Other values (45)	439	47.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	922	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	99	10.7%
a	76	8.2%
e	50	5.4%
i	47	5.1%
o	45	4.9%
r	42	4.6%
l	32	3.5%
7	32	3.5%
4	30	3.3%
8	30	3.3%
Other values (45)	439	47.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	922	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	99	10.7%
a	76	8.2%
e	50	5.4%
i	47	5.1%
o	45	4.9%
r	42	4.6%
l	32	3.5%
7	32	3.5%
4	30	3.3%
8	30	3.3%
Other values (45)	439	47.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	922	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	99	10.7%
a	76	8.2%
e	50	5.4%
i	47	5.1%
o	45	4.9%
r	42	4.6%
l	32	3.5%
7	32	3.5%
4	30	3.3%
8	30	3.3%
Other values (45)	439	47.6%

lastname
Text

Distinct	93
Distinct (%)	87.7%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

Length

Max length	14
Median length	12
Mean length	9.8679245
Min length	6

Characters and Unicode

Total characters	1046
Distinct characters	57
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	81 ?
Unique (%)	76.4%

Sample

1st row	Kunde533
2nd row	Ebert178
3rd row	Gerlach374
4th row	Williamson769
5th row	Gleichner915

Value	Count	Frequency (%)
brakus656	3	2.8%
franecki195	2	1.9%
balistreri607	2	1.9%
carter549	2	1.9%
greenholt190	2	1.9%
schinner682	2	1.9%
schuppe920	2	1.9%
friesen796	2	1.9%
ebert178	2	1.9%
schiller186	2	1.9%
Other values (83)	85	80.2%

Most occurring characters

Value	Count	Frequency (%)
e	87	8.3%
r	67	6.4%
n	52	5.0%
i	52	5.0%
a	51	4.9%
9	48	4.6%
l	44	4.2%
5	37	3.5%
6	34	3.3%
s	34	3.3%
Other values (47)	540	51.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1046	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	87	8.3%
r	67	6.4%
n	52	5.0%
i	52	5.0%
a	51	4.9%
9	48	4.6%
l	44	4.2%
5	37	3.5%
6	34	3.3%
s	34	3.3%
Other values (47)	540	51.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1046	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	87	8.3%
r	67	6.4%
n	52	5.0%
i	52	5.0%
a	51	4.9%
9	48	4.6%
l	44	4.2%
5	37	3.5%
6	34	3.3%
s	34	3.3%
Other values (47)	540	51.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1046	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	87	8.3%
r	67	6.4%
n	52	5.0%
i	52	5.0%
a	51	4.9%
9	48	4.6%
l	44	4.2%
5	37	3.5%
6	34	3.3%
s	34	3.3%
Other values (47)	540	51.6%

suffix
Categorical

Constant

Distinct	1
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

Unknown	106

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	742
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Unknown
2nd row	Unknown
3rd row	Unknown
4th row	Unknown
5th row	Unknown

Common Values

Value	Count	Frequency (%)
Unknown	106	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
unknown	106	100.0%

Most occurring characters

Value	Count	Frequency (%)
n	318	42.9%
U	106	14.3%
k	106	14.3%
o	106	14.3%
w	106	14.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	742	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	318	42.9%
U	106	14.3%
k	106	14.3%
o	106	14.3%
w	106	14.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	742	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	318	42.9%
U	106	14.3%
k	106	14.3%
o	106	14.3%
w	106	14.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	742	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	318	42.9%
U	106	14.3%
k	106	14.3%
o	106	14.3%
w	106	14.3%

maiden
Categorical

High correlation Imbalance

Distinct	29
Distinct (%)	27.4%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

Unknown	78
Rogahn59	1
Lubowitz58	1
Romaguera67	1
Langosh790	1
Other values (24)	24

Length

Max length	14
Median length	7
Mean length	7.5660377
Min length	7

Characters and Unicode

Total characters	802
Distinct characters	46
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	28 ?
Unique (%)	26.4%

Sample

1st row	Unknown
2nd row	Unknown
3rd row	Unknown
4th row	Rogahn59
5th row	Unknown

Common Values

Value	Count	Frequency (%)
Unknown	78	73.6%
Rogahn59	1	0.9%
Lubowitz58	1	0.9%
Romaguera67	1	0.9%
Langosh790	1	0.9%
Wolf938	1	0.9%
Kshlerin58	1	0.9%
Durgan499	1	0.9%
Abreu185	1	0.9%
Hagenes547	1	0.9%
Other values (19)	19	17.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
unknown	78	73.6%
rogahn59	1	0.9%
lubowitz58	1	0.9%
romaguera67	1	0.9%
langosh790	1	0.9%
wolf938	1	0.9%
kshlerin58	1	0.9%
durgan499	1	0.9%
abreu185	1	0.9%
hagenes547	1	0.9%
Other values (19)	19	17.9%

Most occurring characters

Value	Count	Frequency (%)
n	246	30.7%
o	90	11.2%
k	81	10.1%
w	79	9.9%
U	78	9.7%
a	19	2.4%
r	17	2.1%
e	16	2.0%
1	12	1.5%
9	11	1.4%
Other values (36)	153	19.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	802	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	246	30.7%
o	90	11.2%
k	81	10.1%
w	79	9.9%
U	78	9.7%
a	19	2.4%
r	17	2.1%
e	16	2.0%
1	12	1.5%
9	11	1.4%
Other values (36)	153	19.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	802	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	246	30.7%
o	90	11.2%
k	81	10.1%
w	79	9.9%
U	78	9.7%
a	19	2.4%
r	17	2.1%
e	16	2.0%
1	12	1.5%
9	11	1.4%
Other values (36)	153	19.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	802	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	246	30.7%
o	90	11.2%
k	81	10.1%
w	79	9.9%
U	78	9.7%
a	19	2.4%
r	17	2.1%
e	16	2.0%
1	12	1.5%
9	11	1.4%
Other values (36)	153	19.1%

marital
Categorical

High correlation

Distinct	5
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

Unknown	42
M	33
D	15
S	12
W	4

Length

Max length	7
Median length	1
Mean length	3.3773585
Min length	1

Characters and Unicode

Total characters	358
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	D
3rd row	Unknown
4th row	M
5th row	Unknown

Common Values

Value	Count	Frequency (%)
Unknown	42	39.6%
M	33	31.1%
D	15	14.2%
S	12	11.3%
W	4	3.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
unknown	42	39.6%
m	33	31.1%
d	15	14.2%
s	12	11.3%
w	4	3.8%

Most occurring characters

Value	Count	Frequency (%)
n	126	35.2%
U	42	11.7%
k	42	11.7%
o	42	11.7%
w	42	11.7%
M	33	9.2%
D	15	4.2%
S	12	3.4%
W	4	1.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	358	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	126	35.2%
U	42	11.7%
k	42	11.7%
o	42	11.7%
w	42	11.7%
M	33	9.2%
D	15	4.2%
S	12	3.4%
W	4	1.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	358	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	126	35.2%
U	42	11.7%
k	42	11.7%
o	42	11.7%
w	42	11.7%
M	33	9.2%
D	15	4.2%
S	12	3.4%
W	4	1.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	358	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	126	35.2%
U	42	11.7%
k	42	11.7%
o	42	11.7%
w	42	11.7%
M	33	9.2%
D	15	4.2%
S	12	3.4%
W	4	1.1%

race
Categorical

Imbalance

Distinct	5
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

white	88
asian	8
black	6
other	3
native	1

Length

Max length	6
Median length	5
Mean length	5.009434
Min length	5

Characters and Unicode

Total characters	531
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.9%

Sample

1st row	white
2nd row	white
3rd row	white
4th row	asian
5th row	white

Common Values

Value	Count	Frequency (%)
white	88	83.0%
asian	8	7.5%
black	6	5.7%
other	3	2.8%
native	1	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
white	88	83.0%
asian	8	7.5%
black	6	5.7%
other	3	2.8%
native	1	0.9%

Most occurring characters

Value	Count	Frequency (%)
i	97	18.3%
e	92	17.3%
t	92	17.3%
h	91	17.1%
w	88	16.6%
a	23	4.3%
n	9	1.7%
s	8	1.5%
b	6	1.1%
l	6	1.1%
Other values (5)	19	3.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	531	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	97	18.3%
e	92	17.3%
t	92	17.3%
h	91	17.1%
w	88	16.6%
a	23	4.3%
n	9	1.7%
s	8	1.5%
b	6	1.1%
l	6	1.1%
Other values (5)	19	3.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	531	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	97	18.3%
e	92	17.3%
t	92	17.3%
h	91	17.1%
w	88	16.6%
a	23	4.3%
n	9	1.7%
s	8	1.5%
b	6	1.1%
l	6	1.1%
Other values (5)	19	3.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	531	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	97	18.3%
e	92	17.3%
t	92	17.3%
h	91	17.1%
w	88	16.6%
a	23	4.3%
n	9	1.7%
s	8	1.5%
b	6	1.1%
l	6	1.1%
Other values (5)	19	3.6%

ethnicity
Categorical

Distinct	2
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

nonhispanic	90
hispanic	16

Length

Max length	11
Median length	11
Mean length	10.54717
Min length	8

Characters and Unicode

Total characters	1118
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nonhispanic
2nd row	nonhispanic
3rd row	nonhispanic
4th row	nonhispanic
5th row	nonhispanic

Common Values

Value	Count	Frequency (%)
nonhispanic	90	84.9%
hispanic	16	15.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
nonhispanic	90	84.9%
hispanic	16	15.1%

Most occurring characters

Value	Count	Frequency (%)
n	286	25.6%
i	212	19.0%
h	106	9.5%
s	106	9.5%
a	106	9.5%
p	106	9.5%
c	106	9.5%
o	90	8.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1118	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	286	25.6%
i	212	19.0%
h	106	9.5%
s	106	9.5%
a	106	9.5%
p	106	9.5%
c	106	9.5%
o	90	8.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1118	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	286	25.6%
i	212	19.0%
h	106	9.5%
s	106	9.5%
a	106	9.5%
p	106	9.5%
c	106	9.5%
o	90	8.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1118	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	286	25.6%
i	212	19.0%
h	106	9.5%
s	106	9.5%
a	106	9.5%
p	106	9.5%
c	106	9.5%
o	90	8.1%

gender
Categorical

High correlation

Distinct	2
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

F	59
M	47

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	106
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	M
3rd row	M
4th row	F
5th row	M

Common Values

Value	Count	Frequency (%)
F	59	55.7%
M	47	44.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
f	59	55.7%
m	47	44.3%

Most occurring characters

Value	Count	Frequency (%)
F	59	55.7%
M	47	44.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	106	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
F	59	55.7%
M	47	44.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	106	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
F	59	55.7%
M	47	44.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	106	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
F	59	55.7%
M	47	44.3%

birthplace
Text

Distinct	83
Distinct (%)	78.3%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

Length

Max length	40
Median length	36
Mean length	27.707547
Min length	18

Characters and Unicode

Total characters	2937
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	70 ?
Unique (%)	66.0%

Sample

1st row	Boston Massachusetts US
2nd row	Chicopee Massachusetts US
3rd row	Spencer Massachusetts US
4th row	Franklin Massachusetts US
5th row	Brockton Massachusetts US

Value	Count	Frequency (%)
us	91	26.0%
massachusetts	91	26.0%
boston	11	3.1%
north	6	1.7%
santiago	6	1.7%
do	4	1.1%
de	3	0.9%
puerto	3	0.9%
los	3	0.9%
pr	3	0.9%
Other values (106)	129	36.9%

Most occurring characters

Value	Count	Frequency (%)
	456	15.5%
s	408	13.9%
a	273	9.3%
t	259	8.8%
e	182	6.2%
h	127	4.3%
u	118	4.0%
c	116	3.9%
S	112	3.8%
o	111	3.8%
Other values (39)	775	26.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2937	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	456	15.5%
s	408	13.9%
a	273	9.3%
t	259	8.8%
e	182	6.2%
h	127	4.3%
u	118	4.0%
c	116	3.9%
S	112	3.8%
o	111	3.8%
Other values (39)	775	26.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2937	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	456	15.5%
s	408	13.9%
a	273	9.3%
t	259	8.8%
e	182	6.2%
h	127	4.3%
u	118	4.0%
c	116	3.9%
S	112	3.8%
o	111	3.8%
Other values (39)	775	26.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2937	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	456	15.5%
s	408	13.9%
a	273	9.3%
t	259	8.8%
e	182	6.2%
h	127	4.3%
u	118	4.0%
c	116	3.9%
S	112	3.8%
o	111	3.8%
Other values (39)	775	26.4%

address
Text

Unique

Distinct	106
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

Length

Max length	33
Median length	27
Mean length	20.367925
Min length	13

Characters and Unicode

Total characters	2159
Distinct characters	59
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	106 ?
Unique (%)	100.0%

Sample

1st row	811 Kihn Viaduct
2nd row	975 Pfannerstill Throughway
3rd row	548 Heller Lane
4th row	160 Fadel Crossroad Apt 65
5th row	766 Grant Loaf Unit 15

Value	Count	Frequency (%)
unit	16	4.0%
apt	12	3.0%
suite	12	3.0%
road	4	1.0%
row	4	1.0%
brook	3	0.8%
esplanade	3	0.8%
rapid	3	0.8%
stravenue	3	0.8%
street	3	0.8%
Other values (289)	337	84.2%

Most occurring characters

Value	Count	Frequency (%)
	294	13.6%
e	153	7.1%
a	129	6.0%
r	114	5.3%
i	103	4.8%
n	98	4.5%
t	97	4.5%
o	86	4.0%
s	59	2.7%
l	59	2.7%
Other values (49)	967	44.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2159	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	294	13.6%
e	153	7.1%
a	129	6.0%
r	114	5.3%
i	103	4.8%
n	98	4.5%
t	97	4.5%
o	86	4.0%
s	59	2.7%
l	59	2.7%
Other values (49)	967	44.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2159	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	294	13.6%
e	153	7.1%
a	129	6.0%
r	114	5.3%
i	103	4.8%
n	98	4.5%
t	97	4.5%
o	86	4.0%
s	59	2.7%
l	59	2.7%
Other values (49)	967	44.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2159	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	294	13.6%
e	153	7.1%
a	129	6.0%
r	114	5.3%
i	103	4.8%
n	98	4.5%
t	97	4.5%
o	86	4.0%
s	59	2.7%
l	59	2.7%
Other values (49)	967	44.8%

city
Text

Distinct	78
Distinct (%)	73.6%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

Length

Max length	22
Median length	16
Mean length	8.7830189
Min length	4

Characters and Unicode

Total characters	931
Distinct characters	42
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	61 ?
Unique (%)	57.5%

Sample

1st row	Braintree
2nd row	Braintree
3rd row	Mattapoisett
4th row	Wareham
5th row	Groveland

Value	Count	Frequency (%)
boston	7	5.8%
west	7	5.8%
braintree	4	3.3%
yarmouth	3	2.5%
tisbury	3	2.5%
brookfield	3	2.5%
somerville	3	2.5%
north	3	2.5%
lowell	3	2.5%
springfield	3	2.5%
Other values (70)	82	67.8%

Most occurring characters

Value	Count	Frequency (%)
e	100	10.7%
o	83	8.9%
r	75	8.1%
t	74	7.9%
n	63	6.8%
i	51	5.5%
a	50	5.4%
l	50	5.4%
s	37	4.0%
d	34	3.7%
Other values (32)	314	33.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	931	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	100	10.7%
o	83	8.9%
r	75	8.1%
t	74	7.9%
n	63	6.8%
i	51	5.5%
a	50	5.4%
l	50	5.4%
s	37	4.0%
d	34	3.7%
Other values (32)	314	33.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	931	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	100	10.7%
o	83	8.9%
r	75	8.1%
t	74	7.9%
n	63	6.8%
i	51	5.5%
a	50	5.4%
l	50	5.4%
s	37	4.0%
d	34	3.7%
Other values (32)	314	33.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	931	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	100	10.7%
o	83	8.9%
r	75	8.1%
t	74	7.9%
n	63	6.8%
i	51	5.5%
a	50	5.4%
l	50	5.4%
s	37	4.0%
d	34	3.7%
Other values (32)	314	33.7%

state
Categorical

Constant

Distinct	1
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

Massachusetts	106

Length

Max length	13
Median length	13
Mean length	13
Min length	13

Characters and Unicode

Total characters	1378
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Massachusetts
2nd row	Massachusetts
3rd row	Massachusetts
4th row	Massachusetts
5th row	Massachusetts

Common Values

Value	Count	Frequency (%)
Massachusetts	106	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
massachusetts	106	100.0%

Most occurring characters

Value	Count	Frequency (%)
s	424	30.8%
a	212	15.4%
t	212	15.4%
M	106	7.7%
c	106	7.7%
h	106	7.7%
u	106	7.7%
e	106	7.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1378	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
s	424	30.8%
a	212	15.4%
t	212	15.4%
M	106	7.7%
c	106	7.7%
h	106	7.7%
u	106	7.7%
e	106	7.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1378	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
s	424	30.8%
a	212	15.4%
t	212	15.4%
M	106	7.7%
c	106	7.7%
h	106	7.7%
u	106	7.7%
e	106	7.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1378	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
s	424	30.8%
a	212	15.4%
t	212	15.4%
M	106	7.7%
c	106	7.7%
h	106	7.7%
u	106	7.7%
e	106	7.7%

county
Categorical

High correlation

Distinct	13
Distinct (%)	12.3%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

Middlesex County	29
Worcester County	13
Essex County	10
Norfolk County	9
Plymouth County	8
Other values (8)	37

Length

Max length	17
Median length	16
Mean length	14.830189
Min length	12

Characters and Unicode

Total characters	1572
Distinct characters	32
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.9%

Sample

1st row	Norfolk County
2nd row	Norfolk County
3rd row	Plymouth County
4th row	Plymouth County
5th row	Essex County

Common Values

Value	Count	Frequency (%)
Middlesex County	29	27.4%
Worcester County	13	12.3%
Essex County	10	9.4%
Norfolk County	9	8.5%
Plymouth County	8	7.5%
Suffolk County	8	7.5%
Hampden County	8	7.5%
Bristol County	7	6.6%
Barnstable County	5	4.7%
Dukes County	4	3.8%
Other values (3)	5	4.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
county	106	50.0%
middlesex	29	13.7%
worcester	13	6.1%
essex	10	4.7%
norfolk	9	4.2%
plymouth	8	3.8%
suffolk	8	3.8%
hampden	8	3.8%
bristol	7	3.3%
barnstable	5	2.4%
Other values (4)	9	4.2%

Most occurring characters

Value	Count	Frequency (%)
o	160	10.2%
t	139	8.8%
u	126	8.0%
n	121	7.7%
e	117	7.4%
y	114	7.3%
C	106	6.7%
	106	6.7%
s	82	5.2%
l	67	4.3%
Other values (22)	434	27.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1572	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	160	10.2%
t	139	8.8%
u	126	8.0%
n	121	7.7%
e	117	7.4%
y	114	7.3%
C	106	6.7%
	106	6.7%
s	82	5.2%
l	67	4.3%
Other values (22)	434	27.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1572	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	160	10.2%
t	139	8.8%
u	126	8.0%
n	121	7.7%
e	117	7.4%
y	114	7.3%
C	106	6.7%
	106	6.7%
s	82	5.2%
l	67	4.3%
Other values (22)	434	27.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1572	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	160	10.2%
t	139	8.8%
u	126	8.0%
n	121	7.7%
e	117	7.4%
y	114	7.3%
C	106	6.7%
	106	6.7%
s	82	5.2%
l	67	4.3%
Other values (22)	434	27.6%

fips
Categorical

High correlation

Distinct	14
Distinct (%)	13.2%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

Unknown	35
25017.0	24
25021.0	8
25027.0	8
25013.0	7
Other values (9)	24

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	742
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	3.8%

Sample

1st row	25021.0
2nd row	25021.0
3rd row	Unknown
4th row	Unknown
5th row	Unknown

Common Values

Value	Count	Frequency (%)
Unknown	35	33.0%
25017.0	24	22.6%
25021.0	8	7.5%
25027.0	8	7.5%
25013.0	7	6.6%
25025.0	7	6.6%
25009.0	5	4.7%
25001.0	4	3.8%
25003.0	2	1.9%
25005.0	2	1.9%
Other values (4)	4	3.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
unknown	35	33.0%
25017.0	24	22.6%
25021.0	8	7.5%
25027.0	8	7.5%
25013.0	7	6.6%
25025.0	7	6.6%
25009.0	5	4.7%
25001.0	4	3.8%
25003.0	2	1.9%
25005.0	2	1.9%
Other values (4)	4	3.8%

Most occurring characters

Value	Count	Frequency (%)
0	156	21.0%
n	105	14.2%
2	94	12.7%
5	80	10.8%
.	71	9.6%
1	46	6.2%
w	35	4.7%
o	35	4.7%
k	35	4.7%
U	35	4.7%
Other values (4)	50	6.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	742	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	156	21.0%
n	105	14.2%
2	94	12.7%
5	80	10.8%
.	71	9.6%
1	46	6.2%
w	35	4.7%
o	35	4.7%
k	35	4.7%
U	35	4.7%
Other values (4)	50	6.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	742	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	156	21.0%
n	105	14.2%
2	94	12.7%
5	80	10.8%
.	71	9.6%
1	46	6.2%
w	35	4.7%
o	35	4.7%
k	35	4.7%
U	35	4.7%
Other values (4)	50	6.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	742	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	156	21.0%
n	105	14.2%
2	94	12.7%
5	80	10.8%
.	71	9.6%
1	46	6.2%
w	35	4.7%
o	35	4.7%
k	35	4.7%
U	35	4.7%
Other values (4)	50	6.7%

zip
Real number (ℝ)

High correlation Zeros

Distinct	61
Distinct (%)	57.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1317.8868

Minimum	0
Maximum	2861
Zeros	35
Zeros (%)	33.0%
Negative	0
Negative (%)	0.0%
Memory size	980.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1605
Q3	2154.25
95-th percentile	2636.25
Maximum	2861
Range	2861
Interquartile range (IQR)	2154.25

Descriptive statistics

Standard deviation	1012.0357
Coefficient of variation (CV)	0.7679231
Kurtosis	-1.539062
Mean	1317.8868
Median Absolute Deviation (MAD)	602
Skewness	-0.29374171
Sum	139696
Variance	1024216.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	35	33.0%
2184	4	3.8%
2138	2	1.9%
2492	2	1.9%
1915	2	1.9%
1030	2	1.9%
2155	2	1.9%
2180	2	1.9%
2468	2	1.9%
1585	2	1.9%
Other values (51)	51	48.1%

Value	Count	Frequency (%)
0	35	33.0%
1020	1	0.9%
1030	2	1.9%
1038	1	0.9%
1040	1	0.9%
1108	1	0.9%
1129	1	0.9%
1199	1	0.9%
1201	1	0.9%
1220	1	0.9%

Value	Count	Frequency (%)
2861	1	0.9%
2743	1	0.9%
2718	1	0.9%
2675	1	0.9%
2673	1	0.9%
2638	1	0.9%
2631	1	0.9%
2492	2	1.9%
2476	1	0.9%
2472	1	0.9%

lat
Real number (ℝ)

High correlation Unique

Distinct	106
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.242437

Minimum	41.296177
Maximum	42.816043
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	980.0 B

Quantile statistics

Minimum	41.296177
5-th percentile	41.650588
Q1	42.103036
median	42.289558
Q3	42.449431
95-th percentile	42.685496
Maximum	42.816043
Range	1.519866
Interquartile range (IQR)	0.34639512

Descriptive statistics

Standard deviation	0.3301513
Coefficient of variation (CV)	0.0078156311
Kurtosis	0.36660563
Mean	42.242437
Median Absolute Deviation (MAD)	0.18650434
Skewness	-0.82384894
Sum	4477.6983
Variance	0.10899988
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
42.42176351	1	0.9%
42.21114203	1	0.9%
41.43371899	1	0.9%
42.55418125	1	0.9%
42.0658866	1	0.9%
42.11271886	1	0.9%
42.48040619	1	0.9%
42.34024487	1	0.9%
42.04613216	1	0.9%
42.23763486	1	0.9%
Other values (96)	96	90.6%

Value	Count	Frequency (%)
41.29617684	1	0.9%
41.35420569	1	0.9%
41.43371899	1	0.9%
41.49098336	1	0.9%
41.53862265	1	0.9%
41.64829219	1	0.9%
41.65747489	1	0.9%
41.66687013	1	0.9%
41.66850729	1	0.9%
41.68058212	1	0.9%

Value	Count	Frequency (%)
42.81604282	1	0.9%
42.74496939	1	0.9%
42.73418302	1	0.9%
42.71912524	1	0.9%
42.69560171	1	0.9%
42.68816668	1	0.9%
42.67748594	1	0.9%
42.67584335	1	0.9%
42.65765376	1	0.9%
42.64079354	1	0.9%

lon
Real number (ℝ)

High correlation Unique

Distinct	106
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-71.328445

Minimum	-73.237785
Maximum	-70.107363
Zeros	0
Zeros (%)	0.0%
Negative	106
Negative (%)	100.0%
Memory size	980.0 B

Quantile statistics

Minimum	-73.237785
5-th percentile	-72.616709
Q1	-71.522152
median	-71.148032
Q3	-71.002221
95-th percentile	-70.618146
Maximum	-70.107363
Range	3.1304225
Interquartile range (IQR)	0.51993114

Descriptive statistics

Standard deviation	0.62739907
Coefficient of variation (CV)	-0.0087959169
Kurtosis	0.94806933
Mean	-71.328445
Median Absolute Deviation (MAD)	0.17323482
Skewness	-1.0377175
Sum	-7560.8151
Variance	0.39362959
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-71.00480709	1	0.9%
-71.04580218	1	0.9%
-70.66515525	1	0.9%
-71.14725027	1	0.9%
-72.25779487	1	0.9%
-70.98132689	1	0.9%
-70.8970629	1	0.9%
-71.08674318	1	0.9%
-71.00135889	1	0.9%
-71.018562	1	0.9%
Other values (96)	96	90.6%

Value	Count	Frequency (%)
-73.23778524	1	0.9%
-73.11924941	1	0.9%
-72.65371344	1	0.9%
-72.63252116	1	0.9%
-72.62755691	1	0.9%
-72.61762464	1	0.9%
-72.61396084	1	0.9%
-72.5987263	1	0.9%
-72.56676186	1	0.9%
-72.54947692	1	0.9%

Value	Count	Frequency (%)
-70.10736269	1	0.9%
-70.17711054	1	0.9%
-70.21884617	1	0.9%
-70.23283428	1	0.9%
-70.28956236	1	0.9%
-70.61376021	1	0.9%
-70.63130157	1	0.9%
-70.65792862	1	0.9%
-70.66515525	1	0.9%
-70.71161606	1	0.9%

healthcare_expenses
Real number (ℝ)

High correlation Unique

Distinct	106
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	202248.22

Minimum	527.54
Maximum	1157946.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	980.0 B

Quantile statistics

Minimum	527.54
5-th percentile	4963.3575
Q1	29803.083
median	93132.02
Q3	243127.97
95-th percentile	838508.74
Maximum	1157946.9
Range	1157419.4
Interquartile range (IQR)	213324.89

Descriptive statistics

Standard deviation	263109.59
Coefficient of variation (CV)	1.3009242
Kurtosis	3.2083286
Mean	202248.22
Median Absolute Deviation (MAD)	80789.405
Skewness	1.9370994
Sum	21438311
Variance	6.9226658 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
655129.7	1	0.9%
56904.96	1	0.9%
1157946.95	1	0.9%
65711	1	0.9%
442640.29	1	0.9%
226219.18	1	0.9%
306535.33	1	0.9%
143573.39	1	0.9%
3895.86	1	0.9%
56729.23	1	0.9%
Other values (96)	96	90.6%

Value	Count	Frequency (%)
527.54	1	0.9%
2460.22	1	0.9%
3895.86	1	0.9%
3969.77	1	0.9%
4416.06	1	0.9%
4871.79	1	0.9%
5238.06	1	0.9%
7380.74	1	0.9%
7617.33	1	0.9%
8531.67	1	0.9%

Value	Count	Frequency (%)
1157946.95	1	0.9%
1068387.92	1	0.9%
976441.28	1	0.9%
955755.57	1	0.9%
934784.64	1	0.9%
849950.23	1	0.9%
804184.27	1	0.9%
754029.94	1	0.9%
677634.54	1	0.9%
655129.7	1	0.9%

healthcare_coverage
Real number (ℝ)

High correlation Zeros

Distinct	100
Distinct (%)	94.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	298700.27

Minimum	0
Maximum	1441488.7
Zeros	7
Zeros (%)	6.6%
Negative	0
Negative (%)	0.0%
Memory size	980.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	13139.33
median	187893.31
Q3	439327.89
95-th percentile	987837.51
Maximum	1441488.7
Range	1441488.7
Interquartile range (IQR)	426188.56

Descriptive statistics

Standard deviation	342822.6
Coefficient of variation (CV)	1.1477144
Kurtosis	1.075759
Mean	298700.27
Median Absolute Deviation (MAD)	180653.3
Skewness	1.3171977
Sum	31662228
Variance	1.1752733 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7	6.6%
185658.8	1	0.9%
9394.81	1	0.9%
12883.79	1	0.9%
3361.88	1	0.9%
119973.56	1	0.9%
26025.55	1	0.9%
230741.1	1	0.9%
190525.37	1	0.9%
77976.38	1	0.9%
Other values (90)	90	84.9%

Value	Count	Frequency (%)
0	7	6.6%
539.02	1	0.9%
640.19	1	0.9%
693.39	1	0.9%
1075.06	1	0.9%
1941.56	1	0.9%
3361.88	1	0.9%
3414.68	1	0.9%
4193.28	1	0.9%
4560.98	1	0.9%

Value	Count	Frequency (%)
1441488.68	1	0.9%
1280069.64	1	0.9%
1267791.2	1	0.9%
1106488.24	1	0.9%
1015294.53	1	0.9%
1009957.09	1	0.9%
921478.76	1	0.9%
900011.77	1	0.9%
884243.46	1	0.9%
878644.32	1	0.9%

income
Real number (ℝ)

High correlation

Distinct	100
Distinct (%)	94.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	106080.06

Minimum	7361
Maximum	816851
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	980.0 B

Quantile statistics

Minimum	7361
5-th percentile	10271.75
Q1	35910.25
median	76761.5
Q3	117661
95-th percentile	198502
Maximum	816851
Range	809490
Interquartile range (IQR)	81750.75

Descriptive statistics

Standard deviation	139939.05
Coefficient of variation (CV)	1.3191834
Kurtosis	14.847463
Mean	106080.06
Median Absolute Deviation (MAD)	41088.5
Skewness	3.7350062
Sum	11244486
Variance	1.9582938 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
90297	2	1.9%
95344	2	1.9%
7361	2	1.9%
58212	2	1.9%
92537	2	1.9%
49737	2	1.9%
163299	1	0.9%
64743	1	0.9%
550030	1	0.9%
83325	1	0.9%
Other values (90)	90	84.9%

Value	Count	Frequency (%)
7361	2	1.9%
7873	1	0.9%
8615	1	0.9%
8752	1	0.9%
10135	1	0.9%
10682	1	0.9%
12128	1	0.9%
16969	1	0.9%
17382	1	0.9%
18258	1	0.9%

Value	Count	Frequency (%)
816851	1	0.9%
762068	1	0.9%
742063	1	0.9%
550030	1	0.9%
545255	1	0.9%
198522	1	0.9%
198442	1	0.9%
189277	1	0.9%
188023	1	0.9%
179090	1	0.9%

income_category
Categorical

High correlation

Distinct	3
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Memory size	980.0 B

high-income	45
low-income	33
medium-income	28

Length

Max length	13
Median length	11
Mean length	11.216981
Min length	10

Characters and Unicode

Total characters	1189
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	high-income
2nd row	medium-income
3rd row	high-income
4th row	low-income
5th row	medium-income

Common Values

Value	Count	Frequency (%)
high-income	45	42.5%
low-income	33	31.1%
medium-income	28	26.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
high-income	45	42.5%
low-income	33	31.1%
medium-income	28	26.4%

Most occurring characters

Value	Count	Frequency (%)
i	179	15.1%
m	162	13.6%
o	139	11.7%
e	134	11.3%
n	106	8.9%
-	106	8.9%
c	106	8.9%
h	90	7.6%
g	45	3.8%
l	33	2.8%
Other values (3)	89	7.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1189	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	179	15.1%
m	162	13.6%
o	139	11.7%
e	134	11.3%
n	106	8.9%
-	106	8.9%
c	106	8.9%
h	90	7.6%
g	45	3.8%
l	33	2.8%
Other values (3)	89	7.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1189	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	179	15.1%
m	162	13.6%
o	139	11.7%
e	134	11.3%
n	106	8.9%
-	106	8.9%
c	106	8.9%
h	90	7.6%
g	45	3.8%
l	33	2.8%
Other values (3)	89	7.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1189	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	179	15.1%
m	162	13.6%
o	139	11.7%
e	134	11.3%
n	106	8.9%
-	106	8.9%
c	106	8.9%
h	90	7.6%
g	45	3.8%
l	33	2.8%
Other values (3)	89	7.5%

Interactions

Correlations

	county	ethnicity	fips	gender	healthcare_coverage	healthcare_expenses	income	income_category	lat	lon	maiden	marital	prefix	race	zip
county	1.000	0.287	0.778	0.000	0.184	0.256	0.000	0.196	0.514	0.668	0.000	0.093	0.000	0.234	0.609
ethnicity	0.287	1.000	0.336	0.000	0.037	0.282	0.000	0.000	0.000	0.314	0.195	0.000	0.227	0.000	0.281
fips	0.778	0.336	1.000	0.237	0.000	0.000	0.108	0.248	0.323	0.584	0.000	0.013	0.000	0.000	0.798
gender	0.000	0.000	0.237	1.000	0.261	0.000	0.089	0.000	0.279	0.136	0.140	0.000	0.854	0.000	0.000
healthcare_coverage	0.184	0.037	0.000	0.261	1.000	0.490	-0.070	0.196	-0.195	0.199	0.658	0.387	0.400	0.158	-0.063
healthcare_expenses	0.256	0.282	0.000	0.000	0.490	1.000	0.242	0.000	-0.140	0.121	0.623	0.390	0.280	0.331	-0.032
income	0.000	0.000	0.108	0.089	-0.070	0.242	1.000	0.686	-0.032	0.027	0.000	0.054	0.000	0.000	-0.149
income_category	0.196	0.000	0.248	0.000	0.196	0.000	0.686	1.000	0.137	0.089	0.000	0.146	0.000	0.000	0.179
lat	0.514	0.000	0.323	0.279	-0.195	-0.140	-0.032	0.137	1.000	-0.260	0.409	0.098	0.118	0.324	0.073
lon	0.668	0.314	0.584	0.136	0.199	0.121	0.027	0.089	-0.260	1.000	0.000	0.000	0.012	0.224	0.130
maiden	0.000	0.195	0.000	0.140	0.658	0.623	0.000	0.000	0.409	0.000	1.000	0.372	0.262	0.189	0.000
marital	0.093	0.000	0.013	0.000	0.387	0.390	0.054	0.146	0.098	0.000	0.372	1.000	0.565	0.000	0.000
prefix	0.000	0.227	0.000	0.854	0.400	0.280	0.000	0.000	0.118	0.012	0.262	0.565	1.000	0.000	0.000
race	0.234	0.000	0.000	0.000	0.158	0.331	0.000	0.000	0.324	0.224	0.189	0.000	0.000	1.000	0.151
zip	0.609	0.281	0.798	0.000	-0.063	-0.032	-0.149	0.179	0.073	0.130	0.000	0.000	0.000	0.151	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	id	birthdate	deathdate	ssn	drivers	passport	prefix	firstname	middlename	lastname	suffix	maiden	marital	race	ethnicity	gender	birthplace	address	city	state	county	fips	zip	lat	lon	healthcare_expenses	healthcare_coverage	income	income_category
0	30a6452c-4297-a1ac-977a-6a23237c7b46	1994-02-06	NaN	999-52-8591	S99996852	X47758697X	Mr.	Joshua658	Alvin56	Kunde533	Unknown	Unknown	M	white	nonhispanic	M	Boston Massachusetts US	811 Kihn Viaduct	Braintree	Massachusetts	Norfolk County	25021.0	2184	42.211142	-71.045802	56904.96	18019.99	100511	high-income
1	34a4dcc4-35fb-6ad5-ab98-be285c586a4f	1968-08-06	2009-12-11	999-75-3953	S99993577	X28173268X	Mr.	Bennie663	Unknown	Ebert178	Unknown	Unknown	D	white	nonhispanic	M	Chicopee Massachusetts US	975 Pfannerstill Throughway	Braintree	Massachusetts	Norfolk County	25021.0	2184	42.255420	-70.971016	124024.12	1075.06	49737	medium-income
2	7179458e-d6e3-c723-2530-d4acfe1c2668	2008-12-21	NaN	999-70-1925	Unknown	Unknown	Unknown	Hunter736	Mckinley734	Gerlach374	Unknown	Unknown	Unknown	white	nonhispanic	M	Spencer Massachusetts US	548 Heller Lane	Mattapoisett	Massachusetts	Plymouth County	Unknown	0	41.648292	-70.850619	45645.06	6154.94	133816	high-income
3	37c177ea-4398-fb7a-29fa-70eb3d673876	1994-01-27	NaN	999-27-9779	S99995100	X83694889X	Mrs.	Carlyn477	Florencia449	Williamson769	Unknown	Rogahn59	M	asian	nonhispanic	F	Franklin Massachusetts US	160 Fadel Crossroad Apt 65	Wareham	Massachusetts	Plymouth County	Unknown	0	41.789096	-70.711616	12895.15	659951.61	17382	low-income
4	0fef2411-21f0-a269-82fb-c42b55471405	2019-07-27	NaN	999-50-8977	Unknown	Unknown	Unknown	Robin66	Jeramy610	Gleichner915	Unknown	Unknown	Unknown	white	nonhispanic	M	Brockton Massachusetts US	766 Grant Loaf Unit 15	Groveland	Massachusetts	Essex County	Unknown	0	42.734183	-70.976410	18500.02	5493.57	52159	medium-income
5	ec1a6cad-8825-7b5c-4e14-257c696d5f11	2019-04-18	NaN	999-13-4533	Unknown	Unknown	Unknown	Arthur650	Unknown	Roberts511	Unknown	Unknown	Unknown	white	nonhispanic	M	Plymouth Massachusetts US	866 Kulas Harbor	Cambridge	Massachusetts	Middlesex County	25017.0	2138	42.377781	-71.044112	14478.23	693.39	75767	medium-income
6	4569671e-ed39-055f-8e78-422b96c9896b	2013-08-10	NaN	999-40-7708	Unknown	Unknown	Unknown	Caryl47	Lelia627	Kassulke119	Unknown	Unknown	Unknown	white	nonhispanic	F	East Falmouth Massachusetts US	578 Dickens Camp	Arlington	Massachusetts	Middlesex County	25017.0	2476	42.412276	-71.202859	9821.14	27142.51	58294	medium-income
7	c1acd7ba-dacf-36d2-6010-db8934400000	1968-08-06	NaN	999-97-4087	S99911538	X37637991X	Mr.	Willian804	Shelton25	Keeling57	Unknown	Unknown	M	white	nonhispanic	M	Methuen Massachusetts US	848 Ebert Knoll Unit 7	Braintree	Massachusetts	Norfolk County	25021.0	2184	42.214009	-71.004896	175817.63	55473.97	49737	medium-income
8	3648fb36-1cd1-3641-0b1c-1f00d1e7e7de	2006-07-02	NaN	999-78-1635	S99943171	Unknown	Ms.	Domenica436	Unknown	Rau926	Unknown	Unknown	Unknown	white	hispanic	F	Maynard Massachusetts US	963 Senger Fort	Haverhill	Massachusetts	Essex County	25009.0	1835	42.816043	-71.051503	52933.16	11941.44	77756	medium-income
9	50ca7edb-0dee-35e6-5d8f-66fbcb0b37c1	1948-05-28	NaN	999-27-5104	S99941458	X59458953X	Mr.	Arnulfo253	Jordan900	Jaskolski867	Unknown	Unknown	D	white	nonhispanic	M	Boston Massachusetts US	757 Lockman Annex Apt 10	Georgetown	Massachusetts	Essex County	Unknown	0	42.695602	-70.972510	242013.44	322768.97	35255	low-income

	id	birthdate	deathdate	ssn	drivers	passport	prefix	firstname	middlename	lastname	suffix	maiden	marital	race	ethnicity	gender	birthplace	address	city	state	county	fips	zip	lat	lon	healthcare_expenses	healthcare_coverage	income	income_category
96	98cbb02b-c16a-60e4-1ff0-37c0e45e0e9f	2011-09-30	NaN	999-74-6516	Unknown	Unknown	Unknown	Moses679	Unknown	Friesen796	Unknown	Unknown	Unknown	white	nonhispanic	M	Boston Massachusetts US	689 Bailey Plaza Apt 88	Brockton	Massachusetts	Plymouth County	25023.0	2351	42.046132	-71.001359	3895.86	285495.20	8615	low-income
97	d6cc7569-5f31-9648-ec6a-e1162b32b183	2008-06-07	NaN	999-59-4941	S99999666	Unknown	Unknown	Diamond340	Mirtha993	Keebler762	Unknown	Unknown	Unknown	white	nonhispanic	F	North Attleborough Massachusetts US	905 Smitham Bay	Braintree	Massachusetts	Norfolk County	25021.0	2184	42.237635	-71.018562	56729.23	13905.95	94205	high-income
98	780fe740-20fb-07ee-1fbd-3fafa9f5df91	2009-08-20	NaN	999-71-1449	Unknown	Unknown	Unknown	Stanton715	Dion244	Kassulke119	Unknown	Unknown	Unknown	white	nonhispanic	M	Taunton Massachusetts US	539 Grady Fork Suite 43	Leominster	Massachusetts	Worcester County	25027.0	1453	42.583332	-71.817754	3969.77	55724.98	24218	low-income
99	cca2c7f0-a2aa-94e5-ccea-cb78a7d38652	1972-01-25	NaN	999-36-7955	S99988067	X10446987X	Mrs.	Margarette462	Britt177	West559	Unknown	Heidenreich818	D	white	nonhispanic	F	Chelmsford Massachusetts US	756 Schaefer Row Apt 84	Yarmouth	Massachusetts	Barnstable County	Unknown	0	41.666870	-70.218846	119874.42	921478.76	124775	high-income
100	3c7e37b0-c610-bc9a-d75a-f782e5dc7598	2023-01-18	NaN	999-74-5035	Unknown	Unknown	Unknown	Lael572	Anitra287	Schuppe920	Unknown	Unknown	Unknown	white	nonhispanic	F	Boston Massachusetts US	752 Simonis Gate Suite 16	Holyoke	Massachusetts	Hampden County	25013.0	1040	42.238973	-72.613961	4871.79	0.00	545255	high-income
101	37713015-cfb5-bf1a-70eb-970101f32341	2018-04-09	NaN	999-80-8977	Unknown	Unknown	Unknown	Yun266	Norah104	Ernser583	Unknown	Unknown	Unknown	white	nonhispanic	F	Holliston Massachusetts US	376 Ullrich Knoll Unit 86	Fairhaven	Massachusetts	Bristol County	Unknown	0	41.668507	-70.897356	15979.43	4193.28	35486	low-income
102	d426334c-a982-3a31-7e0f-ca3c7fe01310	1960-05-07	NaN	999-80-9251	S99966941	X9157439X	Mrs.	Anita473	Berta524	Sánchez310	Unknown	Rodarte647	W	white	hispanic	F	Santiago de los Caballeros Santiago DO	977 White Row	Beverly	Massachusetts	Essex County	25009.0	1915	42.520925	-70.873600	955755.57	1280069.64	61016	medium-income
103	cb1b46a1-9cb5-1187-ccc5-9fb7b98aa957	1982-12-09	NaN	999-83-1974	S99951357	X10229924X	Mr.	Grady603	Delmar187	Swaniawski813	Unknown	Unknown	M	white	nonhispanic	M	Springfield Massachusetts US	623 Crooks Street	Sharon	Massachusetts	Norfolk County	25021.0	2067	42.143164	-71.170529	302685.62	87202.01	63727	medium-income
104	d1622e8b-d26b-ec81-ffcb-ec4bf2af385b	1951-11-22	2017-08-18	999-55-3884	S99996090	X31384759X	Mrs.	Elna874	Dian810	Prohaska837	Unknown	Bogisich202	D	asian	nonhispanic	F	Fitchburg Massachusetts US	574 Stanton Stravenue	Boston	Massachusetts	Suffolk County	25025.0	2129	42.322290	-71.025025	100734.69	1441488.68	92537	high-income
105	f339a5f7-0b09-3072-2b01-7c8e8ca2c1fc	1951-11-22	NaN	999-66-2146	S99975537	X26025438X	Ms.	Blanca837	Allyn942	Reinger292	Unknown	Unknown	S	asian	nonhispanic	F	Millis-Clicquot Massachusetts US	698 Hagenes Annex	Boston	Massachusetts	Suffolk County	25025.0	2116	42.421764	-71.004807	655129.70	381212.81	92537	high-income

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts